Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Paine, Tyler"'
Autor:
Mahesh, Karan, Paine, Tyler M., Greene, Max L., Rober, Nicholas, Lee, Steven, Monteiro, Sildomar T., Annaswamy, Anuradha, Benjamin, Michael R., How, Jonathan P.
Marine robots must maintain precise control and ensure safety during tasks like ocean monitoring, even when encountering unpredictable disturbances that affect performance. Designing algorithms for uncrewed surface vehicles (USVs) requires accounting
Externí odkaz:
http://arxiv.org/abs/2410.01038
This paper addresses the problem of adaptively controlling the bias parameter in nonlinear opinion dynamics (NOD) to allocate agents into groups of arbitrary sizes for the purpose of maximizing collective rewards. In previous work, an algorithm based
Externí odkaz:
http://arxiv.org/abs/2409.13964
Autor:
Beason, Jordan, Novitzky, Michael, Kliem, John, Errico, Tyler, Serlin, Zachary, Becker, Kevin, Paine, Tyler, Benjamin, Michael, Dasgupta, Prithviraj, Crowley, Peter, O'Donnell, Charles, James, John
The objective of this work is to evaluate multi-agent artificial intelligence methods when deployed on teams of unmanned surface vehicles (USV) in an adversarial environment. Autonomous agents were evaluated in real-world scenarios using the Aquaticu
Externí odkaz:
http://arxiv.org/abs/2404.17038
Autor:
Paine, Tyler M., Benjamin, Michael R.
Publikováno v:
2024 IEEE ICRA, Yokohama, Japan, 2024, pp. 8305-8311
This paper reports a new hierarchical architecture for modeling autonomous multi-robot systems (MRSs): a nonlinear dynamical opinion process is used to model high-level group choice, and multi-objective behavior optimization is used to model individu
Externí odkaz:
http://arxiv.org/abs/2311.11144
Autor:
Rober, Nicholas, Mahesh, Karan, Paine, Tyler M., Greene, Max L., Lee, Steven, Monteiro, Sildomar T., Benjamin, Michael R., How, Jonathan P.
Deploying autonomous systems in safety critical settings necessitates methods to verify their safety properties. This is challenging because real-world systems may be subject to disturbances that affect their performance, but are unknown a priori. Th
Externí odkaz:
http://arxiv.org/abs/2310.19256
We provide the first step toward developing a hierarchical control-estimation framework to actively plan robot trajectories for anomaly detection in confined spaces. The space is represented globally using a directed region graph, where a region is a
Externí odkaz:
http://arxiv.org/abs/2310.00588
Autor:
Paine, Tyler M., Benjamin, Michael R.
In this paper we report an experimental evaluation of three popular methods for online system identification of unmanned surface vehicles (USVs) which were implemented as an ensemble: certifiably stable shallow recurrent neural network (RNN), adaptiv
Externí odkaz:
http://arxiv.org/abs/2308.00782
Publikováno v:
IEEE Robotics and Automation Letters ( Volume: 8, Issue: 7, July 2023)
This paper reports an investigation into the problem of rapid identification of a channel that crosses a body of water using one or more Unmanned Surface Vehicles (USV). A new algorithm called Proposal Based Adaptive Channel Search (PBACS) is present
Externí odkaz:
http://arxiv.org/abs/2209.09720
Many complex vehicular systems, such as large marine vessels, contain confined spaces like water tanks, which are critical for the safe functioning of the vehicles. It is particularly hazardous for humans to inspect such spaces due to limited accessi
Externí odkaz:
http://arxiv.org/abs/2207.00681
Autor:
Paine, Tyler M., Whitcomb, Louis L.
Publikováno v:
2021 IEEE International Conference on Robotics and Automation (ICRA)
This paper addresses the long-standing open problem of observability of mass and inertia plant parameters in the adaptive identification (AID) of second-order nonlinear models of 6 degree-of-freedom rigid-body dynamical systems subject to externally
Externí odkaz:
http://arxiv.org/abs/2108.05297